Wolpaw – Brain-Computer Interfaces
Libro adottato a Politecnico di Torino, a.a. 2026/2027 · 2 canali
«Wolpaw – Brain-Computer Interfaces» è adottato per Neuroengineering/Smart Measurements in Sports And Physical Activity dal prof. Valentina Agostini (Ingegneria Biomedica – Politecnico di Torino).
Come lo indica il docente: J. Wolpaw and E. Wolpaw - "Brain-Computer Interfaces. Principles and Practice", Oxford University Press, USA
Chi lo adotta
- Neuroengineering/Smart Measurements in Sports And Physical Activity – Prof. Valentina Agostini (corso 1)Ingegneria Biomedica · Laurea magistrale (LM-21) · 2º anno · annuale · Rehabilitation and Neural Engineering · 12 CFU
- Neuroengineering/Smart Measurements in Sports And Physical Activity – Prof. Valentina Agostini (corso 2)Ingegneria Biomedica · Laurea magistrale (LM-21) · 2º anno · annuale · Rehabilitation and Neural Engineering · 12 CFU
Programma e testi di ogni canale
Neuroengineering/Smart Measurements in Sports And Physical Activity – Prof. Valentina Agostini Corso 1
Corso di laurea: Ingegneria Biomedica · Laurea magistrale (LM-21) · 2º anno · annuale · Rehabilitation and Neural Engineering · 12 CFU
Il docente indica 2 testi · da studiare tutti
Bacheca del docente: cosa indica di studiare
- Slides, articles and laboratory assignments provided by the teacher. Data and signals acquired during lab sessions + Matlab code to get some practice on how to process signals and analyze/interpret data.
- All slides prepared integrate these different sources. Whenever the content illustrated is based on a scientific manuscript, the reference is provided and the referred material can be accessed online (when freely available) or upon request…
Neuroengineering/Smart Measurements in Sports And Physical Activity – Prof. Valentina Agostini Corso 2
Corso di laurea: Ingegneria Biomedica · Laurea magistrale (LM-21) · 2º anno · annuale · Rehabilitation and Neural Engineering · 12 CFU
Il docente indica 2 testi · da studiare tutti
Bacheca del docente: cosa indica di studiare
- Slides, articles and laboratory assignments provided by the teacher. Data and signals acquired during lab sessions + Matlab code to get some practice on how to process signals and analyze/interpret data.
- All slides prepared integrate these different sources. Whenever the content illustrated is based on a scientific manuscript, the reference is provided and the referred material can be accessed online (when freely available) or upon request…